The present medical services is significant perspective for each human, so there is a need to offer clinical types of assistance that are effectively accessible to everybody. The fundamental center is to examine the lung sickness dependent on a computer programming approach utilizing grouping and highlight choice procedure. The various credits like age, direct bilirubin, Alkphos, sgpt, and so forth, of the lung patient dataset, are utilized to anticipate the lung illnesses hazard level. Implementing lung cancer dataset then compare the data with different data mining techniques like Decision Tree with Fisher Filtering algorithm. A proficient medical services programming can aid a few exercises like determining of the sicknesses dependent on the chronicled information of some another patient, an information distribution center for the board of the entire establishment. Proposed work centers around the improvement of the product that will help in the forecast of the level illnesses dependent on the different indications.